user
What does an embedding layer do in a neural network?

assistant
An embedding layer in a neural network is used to learn a dense low dimensional representation of a sparse high dimensional input. This allows the representation of categorical data such as words, phrases, etc. to become a part of a neural network and be used in making predictions. Embeddings also allow we to reduce the dimensionality of the problem, which can speed up training and improve the model's performance.